Data Analyst (Department of Radiology)

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Healthcare benefits

Tuition assistance

Retirement plans

Flexible work hours

Professional development resources

Job summary

The University of Pennsylvania is looking for a Data Analyst in Philadelphia to manage and analyze multimodal biomedical data. You will work with diverse datasets in a collaborative environment and develop analytical workflows using Python and R.

This position offers a comprehensive benefits package, including healthcare, tuition assistance, and professional development resources for employees and their families.

Qualifications

• 2-3 years of experience or an equivalent combination of education and experience required.
• Excellent organizational skills and attention to detail.
• Strong written and verbal communication skills.

Responsibilities

• Process and organize multimodal biomedical datasets.
• Develop and maintain analytical pipelines using programming languages.
• Conduct statistical analyses and visualize data.
• Collaborate with interdisciplinary teams.

Skills

Programming in Python

Statistical analysis methods

Data visualization techniques

Biomedical datasets

Education

Bachelor’s degree in a quantitative field

Tools

Python

R

Job description

Overview

The University of Pennsylvania is the largest private employer in Philadelphia and a world-renowned leader in education, research, and innovation. Penn offers opportunities for undergraduate, graduate and continuing education, and emphasizes an interdisciplinary approach to scholarship and learning. The University offers a competitive benefits package including healthcare and tuition benefits for employees and their families, retirement benefits, professional development opportunities, health and wellness programs, and more.

The Perelman School of Medicine invites applications for a Data Analyst position focused on multimodal biomedical data processing, integration, quality assurance, and analysis within large-scale translational research studies. The role involves working with complex datasets spanning neuroimaging, electrophysiology, autonomics, behavioral assessments, biospecimens, clinical measures, and other high-dimensional biomedical data streams. Position contingent upon funding and on-site at the University of Pennsylvania. Applicants must be legally authorized to work in the United States.

Lab / Program Description: the research environment centers on quantitative and computational approaches for multimodal biomedical data analysis in clinically relevant populations, with ongoing efforts in data integration, quality assurance, harmonization, statistical and machine learning methods, and translational tools for interpretation of complex datasets.

Key Responsibilities

• Perform processing, organization, harmonization, and quality control of multimodal biomedical datasets, including imaging, electrophysiology, physiological, behavioral, clinical, and biospecimen-related data.
• Develop and maintain computational workflows and analytical pipelines using programming languages such as Python and R.
• Conduct statistical analyses and data visualization to extract meaningful insights from high-dimensional and longitudinal datasets.
• Assist with multimodal data integration, database management, and data standardization across research studies.
• Collaborate with interdisciplinary teams including clinicians, engineers, data scientists, and research coordinators.
• Contribute to preparation of figures, reports, presentations, and manuscripts for scientific dissemination.
• Support development of reproducible and scalable research infrastructure for translational biomedical studies.

Qualifications

• Bachelor’s degree in Biomedical Engineering, Computer Science, Data Science, Statistics, Neuroscience, Mathematics, Bioinformatics, or related quantitative fields, and 2-3 years of experience or an equivalent combination of education and experience required.
• Strong programming experience in Python, R, or related computational environments.
• Experience working with complex biomedical or scientific datasets.
• Familiarity with statistical analysis methods and data visualization techniques.
• Excellent organizational skills and attention to detail.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience with multimodal biomedical data, including imaging, electrophysiology, physiological, wearable, behavioral, or clinical datasets.
• Familiarity with machine learning, AI, signal processing, or quantitative modeling approaches.
• Exposure to database systems, cloud/HPC computing environments, or large-scale data workflows.
• Experience with scientific software tools and reproducible computational pipelines.
• Interest in translational biomedical research and precision health applications.

Working Conditions

On-site position based at the University of Pennsylvania.

Eligibility

Applicants must be legally authorized to work in the United States. Equal opportunity employer statements apply.

Special Requirements

Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

University Benefits

• Health, Life, and Flexible Spending Accounts: comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits; pre-tax flexible spending accounts for eligible expenses.
• Tuition: tuition assistance for employees and eligible family members.
• Retirement: retirement plans with pre-tax or Roth options and investment options through TIAA and Vanguard.
• Time Away from Work: substantial paid time away from work during the year.
• Long-Term Care Insurance: offered in partnership with Genworth Financial for eligible employees and family members.
• Wellness and Work-life Resources: programs to support health, family, and work-life balance.
• Professional and Personal Development: resources to advance personal and professional goals.
• University Resources: access to libraries, athletic facilities, cultural venues, and other university resources.
• Discounts and Special Services: discounts on arts, entertainment, transportation, and other services.
• Flexible Work Hours: flexible work options to promote balance between work and personal commitments.
• Penn Home Ownership Services: forgivable loan for eligible employees for home purchase or improvements.
• Adoption Assistance: reimbursement for qualified adoption expenses for eligible families.

To learn more about benefits, visit the Penn HR benefits page.